Expanded options for autoscale for Apache Spark in Azure Synapse are now available through dynamic allocation of executors.
General availability: Copy data to/from Azure Data Explorer using Azure Data Factory or Synapse Analytics
Mapping Data Flows provides scale-out data transformation in the cloud in Azure Data Factory and Azure Synapse Analytics. With these additional connectors, you can build ETL patterns at Spark scale in a code-free design environment without ever touching the Spark compute. Azure Integration Runtimes allow you to define the Spark environment and provide a serverless Spark compute for your data transformation pipelines.
Speed up big data processing in Azure Synapse with hardware-accelerated Spark pools.
This new output plugin allows you to write telemetry collected by any of the input plugins of Telegraf directly into Azure Data Explorer e.g. it makes SQL monitoring at scale better and affordable.
Save time and reduce risk when batch scoring in Azure Synapse Analytics with the new PREDICT keyword.
Database templates in Azure Synapse enable you to integrate and shape data from across multiple internal and external sources. This helps you eliminate data silos and accelerate building analytics-infused applications for your specific industry.
Partition your data in analytical store using keys that are critical for your business logic to achieve better query and data load performance.
Event Hubs Premium comes with reserved compute, memory, and storage resources, which increases the performance and minimizes cross-tenant interference in a managed multi-tenant PaaS environment.
You can now save up to 28 percent on Azure Synapse workloads without sacrificing flexibility with Azure Synapse pre-purchase plans.
Azure Synapse Analytics Apache Spark 池中现可提供最新版本的开源 Apache Spark。
目标截止日期： 八月 31, 2024
Transition from Compute Optimized data flows to General Purpose data flows by 31 August 2024.
使用 Azure Synapse 中的 T-SQL 读取 Delta Lak 格式。
使用 Blob 清单，你可以获取存储帐户或容器中所有 blob 的完整列表。此清单可与 Synapse 结合使用，来计算每个容器的指标，如容量和计数。
Power your business applications data with analytical and predictive insights.
The public preview announced today starts with the foundation based on the open-source Apache Spark 3.0 branch with subsequent updates leading up to a Generally Available version derived from the latest 3.1 branch.
Beginning today, this GPU acceleration feature in Azure Synapse is available for private preview by request.
流分析现可在 Azure Stack Hub 上作为 IoT Edge 模块运行，同时支持本机输入和输出适配器，例如事件中心和 IoT 中心。这使客户能构建真正混合的数据解决方案。
Enable effortless discovery of trustworthy, valuable data with an Azure Purview powered search within Synapse Studio.
Azure Synapse Pathway 是一种点选式解决方案，可同时简化和加速将本地和云数据仓库迁移到 Azure Synapse Analytics 的过程。
General availability: Data flows in Azure Data Factory and Azure Synapse now support Reserved Instances
Azure Data Factory (ADF) and Azure Synapse Analytics (Synapse) now offer discounted pricing on data flows based on 1-year and 3-year reservations.